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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53582

AI Exam Question Paper Generator

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53582

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53582

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

GH

Gayatri Hene

DJ

Deepak Jangid

AK

Abhishek Kamthe

AB

Amaan Bagwan

MW

Megha Wankhade

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Abstract

The manual preparation of examination question papers is a repetitive, time-consuming, and error-prone process for educators. To overcome these challenges, the AI Exam Question Paper Generator has been developed to automate and optimize the question paper creation process using Artificial Intelligence (AI) and Natural Language Processing (NLP)techniques. The system allows teachers to input subjects, topics, and difficulty levels, after which the AI model intelligently generates or selects suitable questions from a pre-existing question bank. Transformer-based models such as BERT and T5 are employed for understanding and generating contextually appropriate questions [1][2]. Additionally, Machine Learning (ML) algorithms are utilized to classify questions into various difficulty levels, ensuring balanced paper composition and topic coverage [6]. The system reduces redundancy, minimizes human intervention, and enhances accuracy in exam paper generation. It also allows educators to export question papers in printable formats such as PDF or Word, ensuring convenience and usability. Overall, this project demonstrates how AI and NLP technologies can streamline the examination process, save time, and ensure fairness and consistency in educational assessments [7].

KEYWORDS

Artificial Intelligence Question Paper Generation Natural Language Processing (NLP) Machine Learning Automated Assessment Question Bank Difficulty Level Classification Educational Technology Exam Automation Paper Generation System

Cite This Article

Gayatri Hene, Deepak Jangid, Abhishek Kamthe, Amaan Bagwan, Megha Wankhade, "AI Exam Question Paper Generator," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53582

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Publication Date

10/10/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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3

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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